Genetic algorithm application for traffic light control
In this paper, we describe the design of an intelligent traffic light control based on genetic algorithm. This paper is part of our work in which we attempt to use genetic algorithm in traffic light control and pedestrian crossing. In our approach, we use four sensors; each sensor calculates the veh...
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2023
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my.uniten.dspace-308442023-12-29T15:54:28Z Genetic algorithm application for traffic light control Turky A.M. Ahmad M.S. Yusoff M.Z.M. Sabar N.R. 25825717300 7402895985 22636590200 25825697600 Controllers Genetic algorithms Information systems Sensors Fixed time Genetic algorithm applications Isolated intersections Pedestrian crossings Traffic light controls Vehicle densities Genetic engineering In this paper, we describe the design of an intelligent traffic light control based on genetic algorithm. This paper is part of our work in which we attempt to use genetic algorithm in traffic light control and pedestrian crossing. In our approach, we use four sensors; each sensor calculates the vehicle density for each lane. We developed an algorithm to simulate the situation of an isolated intersection (four lanes) based on this technology. We then compare the performance between the genetic algorithm controller and a conventional fixed time controller. � 2009 Springer Berlin Heidelberg. Final 2023-12-29T07:54:28Z 2023-12-29T07:54:28Z 2009 Conference paper 10.1007/978-3-642-01112-2_12 2-s2.0-65349145239 https://www.scopus.com/inward/record.uri?eid=2-s2.0-65349145239&doi=10.1007%2f978-3-642-01112-2_12&partnerID=40&md5=760e4ced4ea8e18a276c8ca5fb137e45 https://irepository.uniten.edu.my/handle/123456789/30844 20 LNBIP 115 120 Springer Verlag Scopus |
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Controllers Genetic algorithms Information systems Sensors Fixed time Genetic algorithm applications Isolated intersections Pedestrian crossings Traffic light controls Vehicle densities Genetic engineering |
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Controllers Genetic algorithms Information systems Sensors Fixed time Genetic algorithm applications Isolated intersections Pedestrian crossings Traffic light controls Vehicle densities Genetic engineering Turky A.M. Ahmad M.S. Yusoff M.Z.M. Sabar N.R. Genetic algorithm application for traffic light control |
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In this paper, we describe the design of an intelligent traffic light control based on genetic algorithm. This paper is part of our work in which we attempt to use genetic algorithm in traffic light control and pedestrian crossing. In our approach, we use four sensors; each sensor calculates the vehicle density for each lane. We developed an algorithm to simulate the situation of an isolated intersection (four lanes) based on this technology. We then compare the performance between the genetic algorithm controller and a conventional fixed time controller. � 2009 Springer Berlin Heidelberg. |
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25825717300 |
author_facet |
25825717300 Turky A.M. Ahmad M.S. Yusoff M.Z.M. Sabar N.R. |
format |
Conference paper |
author |
Turky A.M. Ahmad M.S. Yusoff M.Z.M. Sabar N.R. |
author_sort |
Turky A.M. |
title |
Genetic algorithm application for traffic light control |
title_short |
Genetic algorithm application for traffic light control |
title_full |
Genetic algorithm application for traffic light control |
title_fullStr |
Genetic algorithm application for traffic light control |
title_full_unstemmed |
Genetic algorithm application for traffic light control |
title_sort |
genetic algorithm application for traffic light control |
publisher |
Springer Verlag |
publishDate |
2023 |
_version_ |
1806425791152521216 |
score |
13.18916 |